Results 51 to 60 of about 4,505,015 (366)
Bleu: a Method for Automatic Evaluation of Machine Translation
Annual Meeting of the Association for Computational Linguistics, 2002 Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve human labor that can not be reused.
Kishore Papineni +3 more
semanticscholar +1 more source
A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation
The Scientific World Journal, 2014 Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang +4 more
doaj +1 more source
Translating Phrases in Neural Machine Translation [PDF]
Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing, 2017 Accepted by EMNLP ...
Deyi Xiong +3 more
openaire +3 more sources
The Scientific World Journal, 2014 With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
Aaron L.-F. Han +4 more
doaj +1 more source
A Relationship: Word Alignment, Phrase Table, and Translation Quality
The Scientific World Journal, 2014 In the last years, researchers conducted several studies to evaluate the machine translation quality based on the relationship between word alignments and phrase table.
Liang Tian +3 more
doaj +1 more source
Unsupervised Chunking Based on Graph Propagation from Bilingual Corpus
The Scientific World Journal, 2014 This paper presents a novel approach for unsupervised shallow parsing model trained on the unannotated Chinese text of parallel Chinese-English corpus. In this approach, no information of the Chinese side is applied. The exploitation of graph-based label
Ling Zhu, Derek F. Wong, Lidia S. Chao
doaj +1 more source
Are ambiguous conjunctions problematic for machine translation? [PDF]
, 2019 The translation of ambiguous words still poses challenges for machine translation. In this work, we carry out a systematic quantitative analysis regarding the ability of different machine translation systems to disambiguate the source language ...
Castilho, Sheila, Popović, Maja
core +1 more source
Interactive Machine Translation [PDF]
, 2011 [EN] Achieving high-quality translation between any pair of languages is not possible with the current Machine-Translation (MT) technology a human post-editing of the outputs of the MT system being necessary. Therefore, MT is a suitable area to apply the Interactive Pattern Recognition (IPR) framework and this application has led to what nowadays is ...
Toselli, Alejandro Héctor +5 more
openaire +2 more sources
Improving Neural Machine Translation Models with Monolingual Data [PDF]
Annual Meeting of the Association for Computational Linguistics, 2015 Neural Machine Translation (NMT) has obtained state-of-the art performance for several language pairs, while only using parallel data for training. Target-side monolingual data plays an important role in boosting fluency for phrase-based statistical ...
Rico Sennrich +2 more
semanticscholar +1 more source
Comparative Legilinguistics, 2019 With the advent of the neural paradigm, machine translation has made another leap in quality. As a result, its use by trainee translators has increased considerably, which cannot be disregarded in translation pedagogy.
Wiesmann Eva
doaj +4 more sources